On Hinde-Demétrio regression models for overdispersed count data

DOI10.1016/j.stamet.2006.10.001zbMath1248.62126OpenAlexW2126250635MaRDI QIDQ713774

Célestin C. Kokonendji, Silvio S. Zocchi, Clarice Garcia Borges Demétrio

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2006.10.001

zbMATH Keywords

model selectioncompound Poissongeneralized linear modelszero-inflationadditive exponential dispersion modelunit variance function

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (8)

On Poisson-Tweedie mixtures ⋮ On the mean value parametrization of natural exponential families -- a revisited review ⋮ Regression of polynomial statistics on the sample mean and natural exponential families ⋮ Extended Poisson–Tweedie: Properties and regression models for count data ⋮ On Poisson-exponential-Tweedie models for ultra-overdispersed count data ⋮ Semiparametric estimation for count data through weighted distributions ⋮ Second order minimax estimation of the mean ⋮ New exponential dispersion models for count data: the ABM and LM classes

Uses Software

• R

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